%% First load data arrays for analysis
clear;
fnames = dir("monod*.mat");
for k=1:length(fnames)
    load(fnames(k).name);
end

molmass_glucose = 180; % Molar mass of glucose
clc;
close all;

%% Establish concentrations to evaluate
ivec = [1:4]'; % Only use first 4 concentrations


%% Define molar mass
molmass_glucose = 180; % Molar mass of glucose
tempmat = monod_mat_glucose_25C;
concentration = tempmat(:,1)/100*1000/molmass_glucose*1000; % Convert to mM

%% 25C glucose
tempmat = monod_mat_glucose_25C;
smat = size(tempmat);

conc_25C = tempmat(ivec,1)/100*1000/molmass_glucose*1000; % Convert to mM
grmax_25C = nanmean(tempmat(ivec,2:4),2);
grmax_err_25C = nanstd(tempmat(ivec,2:4),0,2);

%% 30C glucose
tempmat = monod_mat_glucose_30C;
smat = size(tempmat);

conc_30C = tempmat(ivec,1)/100*1000/molmass_glucose*1000; % Convert to mM
grmax_30C = nanmean(tempmat(ivec,2:4),2);
grmax_err_30C = nanstd(tempmat(ivec,2:4),0,2);

%% 37C glucose
tempmat = monod_mat_glucose_37C;
smat = size(tempmat);

conc_37C = tempmat(ivec,1)/100*1000/molmass_glucose*1000; % Convert to mM
grmax_37C = nanmean(tempmat(ivec,2:4),2);
grmax_err_37C = nanstd(tempmat(ivec,2:4),0,2);

%% Now do Arrhenius analysis

conc_tot = conc_37C; % All should be the same concentration
T = [25 30 37]';

grmax_tot_glucose = [grmax_25C grmax_30C grmax_37C];
grmax_err_tot_glucose = [grmax_err_25C grmax_err_30C grmax_err_37C];

Ea_glucose = [];
Ea_err_glucose = [];

cols = cbrewer('div','RdBu', length(conc_tot));

figure;
for k=1:length(ivec)
    g = grmax_tot_glucose(k,:)';
    ge = grmax_err_tot_glucose(k,:)';

    col = cols(k,:);
    errorbar(1./(T+273.15), log(g), ge./g, 'o','color', col, 'linewidth', 1);
    hold on;
    
    f = fitlm(1./(T+273.15), log(g),'Weights', 1./(ge./g).^2);
    plot(1./(T+273.15),f.feval(1./(T+273.15)), 'color', col, 'linewidth', 1);
    
    ea = -f.Coefficients.Estimate(2)/298/1.688;
    ea_se = f.Coefficients.SE(2)/298/1.688;

    disp('Activation Energy (KT):');
    disp(ea);
    
    disp('With error:');
    disp(ea_se);

    Ea_glucose = [Ea_glucose; ea];
    Ea_err_glucose = [Ea_err_glucose; ea_se];
    
    
end

set(gca, 'fontsize', 20);
set(gcf, 'Position', [0 0 400 300]);
xlabel('1/T (1/K)');
ylabel('Log (growth rate)');
xlim([1/312 1/296]);
box off;

%% Plot Ea vs. concentration (in units of kcal/mol)
figure;
errorbar(concentration, Ea_glucose, Ea_err_glucose, 'ko-', 'markerfacecolor','b');
ylim([0 40]);
set(gca, 'fontsize', 20);
set(gcf, 'Position', [0 0 400 300]);
xlabel('Concentration (mM)');
ylabel('Activation energy (kcal/mol)');
box off
xlim([0 max(concentration)*1.1])

%% Compute average activation energy at saturation, with standard error
sat_index = [1:4]; % Indexing for saturating concentrations

Ea_mean = mean(Ea_glucose(sat_index))/1.688
Ea_mean_err = sqrt(sum(Ea_err_glucose(sat_index).^2)/length(sat_index))/1.688
Ea_se = Ea_mean_err/sqrt(length(sat_index))/1.688




